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Intelligent Algorithms for a Hybrid FuelCell/Photovoltaic Standalone System: Simulation Of Hybrid FuelCell/Photovoltaic Standalone System
Högskolan Dalarna, Akademin Industri och samhälle, Datateknik.
2010 (engelsk)Independent thesis Advanced level (degree of Master (One Year)), 10 poäng / 15 hpOppgave
Abstract [en]

The Intelligent Algorithm is designed for theusing a Battery source. The main function is to automate the Hybrid System through anintelligent Algorithm so that it takes the decision according to the environmental conditionsfor utilizing the Photovoltaic/Solar Energy and in the absence of this, Fuel Cell energy isused. To enhance the performance of the Fuel Cell and Photovoltaic Cell we used batterybank which acts like a buffer and supply the current continuous to the load.

To develop the main System whlogic based controller was used. Fuzzy Logic based controller used to develop this system,because they are chosen to be feasible for both controlling the decision process and predictingthe availability of the available energy on the basis of current Photovoltaic and Battery conditions.

The Intelligent Algorithm is designed to optimize the performance of the system and to selectthe best available energy source(s) in regard of the input parameters. The enhance function of these Intelligent Controller is to predict the use of available energy resources and turn on thatparticular source for efficient energy utilization. A fuzzy controller was chosen to take thedecisions for the efficient energy utilization from the given resources. The fuzzy logic basedcontroller is designed in the Matlab-Simulink environment. Initially, the fuzzy based ruleswere built. Then MATLAB based simulation system was designed and implemented. Thenthis whole proposed model is simulated and tested for the accuracy of design and performanceof the system.

sted, utgiver, år, opplag, sider
2010. , s. 55
Emneord [en]
Intelligent Algorithms, Intelligent Controller, Hybrid System, Fuel Cell, Photovoltaic Cell, Fuzzy Logic, Membership Function, Rule Base, Solar Energy, Hybrid Battery, Standalone System.
HSV kategori
Identifikatorer
URN: urn:nbn:se:du-10046OAI: oai:DiVA.org:du-10046DiVA, id: diva2:524822
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(engelsk)
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Tilgjengelig fra: 2012-05-04 Laget: 2012-05-04 Sist oppdatert: 2018-01-12bibliografisk kontrollert

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